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Auto-Associative Initialization of LSTM Neural Networks for Fundamental Frequency Detection in Noisy Speech Signals
(2018)
In this paper, we present a new approach for fundamental frequency detection in noisy speech, based on Long Short-term Memory Neural Networks (LSTM). Fundamental frequency is one of the most important parameters of human ...
Reactive Power Limits in Distributed Generators from Generic Capability Curves
(2014-07-27)
This paper presents a generic trapezoid-type capability curve for any distributed generation technology. This curve is used to estimate the machine reactive power limits in terms of the actual active power and terminal ...
A practical method for considering shading on photovoltaics systems energy yield
(2023-10-01)
Along with the widespread adoption of solar energy, it is fundamental to develop methods and tools that help practitioners during the design phase of photovoltaic (PV) systems. Currently, multiple commercial software can ...
Torque sensor geometry study on 3D simulated conditions for a Hollow robotic joint
(2019)
El sensor de torque es el componente que le brinda a una articulación robótica la
capacidad de ser amigable con su entorno, ya que posibilita a un brazo robótico a tomar acciones al
captar disturbios externos mientras ...
Análisis de estabilidad y diseño de un sistema no lineal con controladores PI
(2022-04)
Este trabajo presenta el análisis y deducción de las condiciones que garantizan la estabilidad de un lazo realimentado
implementando un controlador de tipo PI no lineal a partir de los resultados propuestos por [4]. Luego ...
Costos y beneficios de la carbono-neutralidad en Perú: Una evaluación robusta
(2021-05)
Cumplir con las metas del Acuerdo de Paris requiere que todos los países lleguen a cero emisiones netas de carbono alrededor de 2050. Este estudio evalúa los costos y beneficios de distintas rutas de descarbonización en ...
Robustness of LSTM neural networks for the enhancement of spectral parameters in noisy speech signals
(2019)
In this paper, we carry out a comparative performance analysis of Long Short-term Memory (LSTM) Neural Networks for the task of noise reduction. Recent work in this area has shown the advantages of this kind of network for ...
Estado del arte de la predicción de variables en sistemas de Ingeniería Eléctrica basada en inteligencia artificial
State of the art of predicting Electrical Engineering variables based on artificial intelligence
(2021-11)
Existe una gran cantidad de sistemas que se estudian y desarrollan en el campo de la Ingeniería Eléctrica en los que se realizan análisis que tienen como uno de sus fines principales la predicción de sus variables, tanto ...
Smart placement of a two-arm assembly for an everyday object manipulation humanoid robot based on capability maps
(2018)
A robot that will execute everyday object manip-
ulation tasks needs a competent body that can handle as many
different objects as possible in as many ways as possible. To
accomplish this, we must design the robot body ...
Hidden Markov Models for artificial voice production and accent modification
(2016)
In this paper, we consider the problem of accent modification between Castilian Spanish and Mexican Spanish. This is an interesting application area for tasks such as the automatic dubbing of pictures and videos with ...